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Learning Content Developer Jobs in Los Angeles, CA

Showing results 21-40

Learning Content Developer information

See Los Angeles, CA salary details

$31.8K

$125.7K

$139K

How much do learning content developer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for learning content developer in Los Angeles, CA is $125,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $137,900.00 per year, depending on experience, location, and employer.

How does a learning content developer typically collaborate with subject matter experts (SMEs) during the course development process?

As a Learning Content Developer, you will frequently work alongside subject matter experts to ensure that instructional materials are accurate, relevant, and aligned with learning objectives. Collaboration often involves conducting interviews, reviewing existing materials, and iterating on content drafts based on SME feedback. Building strong communication skills and the ability to translate complex information into engaging learning experiences are key to successful teamwork in this role. Regular meetings and feedback sessions are common, allowing you to refine content and maintain project timelines.

What are the key skills and qualifications needed to thrive as a learning content developer, and why are they important?

To thrive as a Learning Content Developer, you need expertise in instructional design, curriculum development, and adult learning theory, typically supported by a degree in education, instructional design, or related fields. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), Learning Management Systems (LMS), and multimedia production software is essential. Strong communication, creativity, and project management skills help you collaborate effectively and create engaging learning experiences. These skills ensure the development of impactful, accessible, and learner-centered educational content in diverse settings.

What is the difference between Learning Content Developer vs Instructional Designer?

AspectLearning Content DeveloperInstructional Designer
CredentialsBachelor's in Education, Instructional Design, or related field; certifications like CPLP or ATDBachelor's or Master's in Education, Instructional Design, or related field; similar certifications
Work EnvironmentCreates digital and print learning materials, often in corporate, e-learning, or educational settingsDesigns overall learning experiences, including curriculum development and course structure
Employer & Industry UsageUsed in corporate training, e-learning companies, educational institutionsCommon in corporate training, higher education, and e-learning sectors

Learning Content Developers focus on creating specific learning materials, while Instructional Designers develop comprehensive learning strategies and curricula. Both roles often overlap but serve different stages of the instructional design process.

What are popular job titles related to Learning Content Developer jobs in Los Angeles, CA?

For Learning Content Developer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Learning Content Developer jobs in Los Angeles, CA look for?

The top searched job categories for Learning Content Developer jobs in Los Angeles, CA are:

Infographic showing various Learning Content Developer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,654 per year, or $60.4 per hour.

Data Engineer (L5) - Content Machine Learning

Netflix

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 20 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Role
Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry "on & off-service". Our flagship product, Netflix KG ("Hitch"), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix's long-term growth.
We are looking for a Data Engineer with a background in Machine Learning to own and scale our data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful, scalable, and robust data systems and machine learning models that create and describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Machine Learning Engineers and Scientists to build scalable graphs and then leverage graph data in ML predictive models.
The ideal candidate will have a strong background in distributed data processing and can demonstrate strong data intuition and end-to-end ownership of our systems - from data collection and processing to running ML systems in production.
Who you are:
  • Passionate about data systems: build reliable and trustworthy web-scale data products
  • Highly proficient in at least one of the programming languages (e.g. Python, Java, or Scala) with at least 4 years of software/data engineering experience
  • Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
  • Familiarity with machine learning libraries TensorFlow, PyTorch, JAX, or Keras
  • Experience working in machine learning or natural language processing domains. Some experience in implementing and productionizing models in large-scale industrial settings is a plus.
  • Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages, graph machine learning)
  • You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
  • Excited about learning new business domains, demonstrating excellence, and growing your career

What you will do:
  • Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
  • Leverage ML techniques for information extraction, building knowledge graphs with the information, and leveraging graph ML to power business insights.
  • Build robust data quality systems using best-in-the-class data and ML techniques enabling the team and partners to deliver more business value
  • Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and related business domains
  • Understand business requirements and provide data that empowers teams to innovate on top of the Netflix KG
  • Join a stunning team of data and machine learning engineers with diverse skill sets, partnering closely with data science, analytics, and business counterparts

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

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Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997